Transform music discovery and catalog management with AI-driven metadata tagging and search.
Musiio, now a SoundCloud company, is the industry-leading AI platform designed for the music industry to solve the problem of high-volume audio processing. As of 2026, Musiio utilizes sophisticated deep learning models to 'listen' to music at a scale humanly impossible, extracting granular metadata including genre, mood, BPM, key, and energy. Its technical architecture focuses on descriptive audio analysis and reference-based search, allowing users to find similar tracks within a database using an audio file as a query. For enterprise users, Musiio provides a robust API that integrates directly into existing DAM (Digital Asset Management) systems. Its market position is solidified by its ability to process millions of tracks with over 99% accuracy, making it the preferred choice for record labels, sync agencies, and streaming platforms. The 2026 iteration includes advanced 'Hit Potential' scoring, which uses historical data and trend analysis to predict the commercial viability of a track, and enhanced vocal detection to distinguish between artificial and human performances.
Uses audio fingerprinting and vector embeddings to find tracks with similar acoustic profiles.
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A predictive model trained on 20+ years of billboard data to score track commerciality.
High-precision signal processing for rhythmic and harmonic analysis.
Multi-dimensional mood classification using neural networks.
Separates and analyzes vocal content from instrumental backings.
Assigns weighted percentages to multiple genres per track.
Allows enterprises to train the AI on their specific niche catalog requirements.
Manual tagging of 50,000 new tracks uploaded daily is impossible.
Registry Updated:2/7/2026
A music supervisor needs a track that 'sounds like' a famous copyrighted song they can't afford.
A&R teams receive 10,000+ demos monthly; most are low quality.